Senior ML Scientist

Job Role: Senior ML Scientist (Pricing Reinforcement Learning)
Work Location
Mississauga, ON

Note: Need someone from Canada not USA.

Job Description:
We seek a Senior ML Scientist to drive innovation in AI ML based dynamic pricing algorithms and personalized offer experiences This role will focus on designing and implementing advanced machine learning models including reinforcement learning techniques like Contextual Bandits Qlearning SARSA and more By leveraging algorithmic expertise in classical ML and statistical methods you will develop solutions that optimize pricing strategies improve customer value and drive measurable business impact
Qualifications:
8 years in machine learning 5 years in reinforcement learning recommendation systems pricing algorithms pattern recognition or artificial intelligence
Expertise in classical ML techniques eg Classification Clustering Regression using algorithms like XGBoost Random Forest SVM and KMeans with hands on experience in RL methods such as Contextual Bandits Qlearning SARSA and Bayesian approaches for pricing optimization
Proficiency in handling tabular data including sparsity cardinality analysis standardization and encoding
Proficient in Python and SQL including Window Functions Group By Joins and Partitioning
Experience with ML frameworks and libraries such as scikitlearn TensorFlow and PyTorch
Knowledge of controlled experimentation techniques including causal AB testing and multivariate testing
Skills
Mandatory Skills : MLOPS, Python